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Refactor features section in README for improved clarity and organization
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27
README.md
27
README.md
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**Management server and proxy for multiple llama.cpp and MLX instances with OpenAI-compatible API routing.**
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## Why llamactl?
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## Features
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🚀 **Multiple Model Serving**: Run different models simultaneously (7B for speed, 70B for quality)
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🔗 **OpenAI API Compatible**: Drop-in replacement - route requests by model name
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🍎 **Multi-Backend Support**: Native support for both llama.cpp and MLX (Apple Silicon optimized)
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🌐 **Web Dashboard**: Modern React UI for visual management (unlike CLI-only tools)
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🔐 **API Key Authentication**: Separate keys for management vs inference access
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📊 **Instance Monitoring**: Health checks, auto-restart, log management
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⚡ **Smart Resource Management**: Idle timeout, LRU eviction, and configurable instance limits
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💡 **On-Demand Instance Start**: Automatically launch instances upon receiving OpenAI-compatible API requests
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💾 **State Persistence**: Ensure instances remain intact across server restarts
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### 🚀 Easy Model Management
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- **Multiple Model Serving**: Run different models simultaneously (7B for speed, 70B for quality)
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- **On-Demand Instance Start**: Automatically launch instances upon receiving API requests
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- **State Persistence**: Ensure instances remain intact across server restarts
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### 🔗 Universal Compatibility
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- **OpenAI API Compatible**: Drop-in replacement - route requests by model name
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- **Multi-Backend Support**: Native support for both llama.cpp and MLX (Apple Silicon optimized)
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### 🌐 User-Friendly Interface
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- **Web Dashboard**: Modern React UI for visual management (unlike CLI-only tools)
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- **API Key Authentication**: Separate keys for management vs inference access
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### ⚡ Smart Operations
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- **Instance Monitoring**: Health checks, auto-restart, log management
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- **Smart Resource Management**: Idle timeout, LRU eviction, and configurable instance limits
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